Unit name | SWBio DTP: Data Science and Machine Learning for the Biosciences |
---|---|
Unit code | BIOCM0022 |
Credit points | 20 |
Level of study | M/7 |
Teaching block(s) |
Teaching Block 1 (weeks 1 - 12) |
Unit director | Dr. Barker |
Open unit status | Not open |
Pre-requisites |
None |
Co-requisites |
BIOCM0010 SWBio DTP: Statistics and Bioinformatics, BIOCM0013 SWBio DTP: Science in Society, Business and Industry, BIOCM0021 SWBio DTP: Rotation Project 1, BIOCM0020 SWBio DTP: Rotation Project 2 |
School/department | School of Biochemistry |
Faculty | Faculty of Life Sciences |
The key aim of this unit is to introduce and familiarise doctoral students with the basics of coding, machine learning and general principles of data science as applied in the analysis of data from the biosciences. It is assumed that students will have minimal previous experience with coding (but noting that they will have made limited usage of R in the co-requisite BIOCM0010 unit which is taken prior to this new unit). By the end of the unit it is anticipated that students will be able to complete a short coding project manipulating data of relevance to their doctoral research studies.
The specific aims of this unit are:
This unit will have an intensive one week of teaching, comprising lectures, workshops, practical activities including some small-group activities. This will be followed by recommended- and self-directed study, to prepare the student for the various assessment activities.
This is a pass/fail unit, with each individual assessment being assessed using the pass/fail criteria.
There will be 2 assessments:
(1) A short group project, including a verbal presentation to the whole cohort and to which all group members will need to contribute (pass/fail; must pass), and
(2) an individual short project, involving development of simple software for elementary analysis of a large data set from their area of doctoral research (pass/fail; must pass)
If this unit has a Resource List, you will normally find a link to it in the Blackboard area for the unit. Sometimes there will be a separate link for each weekly topic.
If you are unable to access a list through Blackboard, you can also find it via the Resource Lists homepage. Search for the list by the unit name or code (e.g. BIOCM0022).
How much time the unit requires
Each credit equates to 10 hours of total student input. For example a 20 credit unit will take you 200 hours
of study to complete. Your total learning time is made up of contact time, directed learning tasks,
independent learning and assessment activity.
See the Faculty workload statement relating to this unit for more information.
Assessment
The Board of Examiners will consider all cases where students have failed or not completed the assessments required for credit.
The Board considers each student's outcomes across all the units which contribute to each year's programme of study. If you have self-certificated your absence from an
assessment, you will normally be required to complete it the next time it runs (this is usually in the next assessment period).
The Board of Examiners will take into account any extenuating circumstances and operates
within the Regulations and Code of Practice for Taught Programmes.